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Computational Science, Engineering & Technology Series
ISSN 1759-3158 CSETS: 40
ADVANCES IN PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, B.H.V. Topping and G. Várady
Chapter 7
Flowbster Workflow System for Clouds P. Kacsuk, J. Kovács and Z. Farkas
Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), Budapest, Hungary P. Kacsuk, J. Kovacs, Z. Farkas, "Flowbster Workflow System for
Clouds", in P. Iványi, B.H.V. Topping and G. Várady, (Editors), "Advances in
Parallel, Distributed, Grid
and
Cloud Computing
for
Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 7, pp 137-156, 2017. doi:10.4203/csets.40.7
Keywords:
cloud computing, workflow, service choreography.
Abstract
The paper describes a new cloud-oriented workflow system called as Flowbster. It was
designed to create efficient data pipelines by which very large data sets can efficiently
be processed in clouds. The Flowbster workflow can be deployed in the target cloud as
a virtual infrastructure through which the data to be processed can flow and meanwhile
it flows through the workflow it is transformed as the business logic of the workflow
defines it. Instead of using the enactor based workflow concept Flowbster applies
the service choreography concept where the workflow nodes directly communicate
with each other. Workflow nodes are able to recognize if they can be activated with
a certain data set without the interaction of central control service like the enactor in
service orchestration workflows. As a result Flowbster workflows implement a much
more efficient data path through the workflow than service orchestration workflows.
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